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                Field
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                Cancer). Your profile PhD in Bioinformatics, Computational Biology, Data Science, or related field. Experience in multi-omics data analysis and/or drug screen data processing. Experience with HPC/cloud 
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                School has three campuses. A four-year MD program and the MD/PhD program are located on the Twin Cities campus in addition to MD programs at regional campuses in Duluth and St. Cloud. Apply for Job 
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                of Contract Temporary Job Status Full-time Offer Starting Date 5 Jan 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - ERC Reference Number 101170457 Is the Job related to 
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                development and high-performance computing. The division is currently in an expansive phase in new emerging areas such as cloud and fog computing, data science, and artificial intelligence, where it plays key 
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                leading Swedish industry partners in 6G and cloud computing, gaining unique opportunities to bridge academic research with real-world applications. Research environment The Optical Networks (ON) Unit 
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                languages (choreographic programming, session types, etc.), distributed computing (cloud computing, microservices, etc.), Dev(Sec)Ops, software engineering (software product lines), human factors in security 
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                ). Applicants with a background in either QIS or QFT are welcome. Our group has access to cloud-based quantum computing resources through IBM and AWS, and an IBM quantum computer is expected to be acquired soon 
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                (e.g., flow-based models, diffusion models), statistical physics, computational biology, or ML theory. Experience with cloud computing, computational structural biology and/or phylogenetics, and Nextflow 
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                cloud computing; Latex Does this position have supervisory responsibilities? No Preferred Education/Experience PhD in computer science, physics, engineering, statistics or applied mathematics is required 
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                , modeling, or AI/ML approaches in agricultural or environmental research. -Proficiency in server administration, distributed computing, and cloud platforms (AWS, Azure, Google Cloud). -Knowledge of full-stack